Close x

MACHINE LEARNING WITH PYTHON

Autor:

Disponibilitate: LIVRARE IN 2-4 SAPTAMANI (produsul este livrat din Marea Britanie)

SKU:
9781706523079

90,99 RON
Okian.ro este o LIBRARIE online de carte in limba engleza.
Machine Learning applies AI or an artificial intelligence which makes systems process and learn automatically without the need of being programmed by the user. It automatically stores, retrieves, and processes data, which makes programming much easier.




Let's think of the concept of machine learning and Python and how it can be useful in our daily lives. There are so many benefits of learning and practicing Machine Learning and Python that many aspiring data scientists demands of achieving. It can not only help the industry but our personal lives as well.




Whether your dream is learning the basics of machine learning, getting your feet wet with learning a few algorithms, earning a six-figure income by becoming an engineer, or living the high life because you just came up with your company's first ever Neural Network, this Machine Learning with Python book with its step-by-step learning is the blueprint in understanding machine learning.





This step-by-step guide to machine learning teaches:



Machine Learning Types: from supervised machine learning to deep reinforcement learning with algorithms from the k-nearest neighbor which is solely called kNN, which is a statistical approach that can be employed for answering classification and regression problems.
A quick little synopsis on the 1943 model of the McCulloch-Pitts model of Neurons and how the prototype was put together with a simple component called Neuron.
Operations: from data security to healthcare
What is Python: How it is used and the benefits of learning it
Notations: Arithmetic notation to Set Membership notation
Roadmap for building Machine Learning Systems
Variables in Python: How a variable is a component that holds a value that may change.
Essential Operators for Python: from types of operators to Python Operators Precedence
Functions: Defining the Return Statement
Conditional Statement: How to use Conditional Statements to Else Statements with examples
How to use Loops in Python: from Loop to Nested Loops
What is NumPy and How to use it: Installation to Sorting Arrays
Introduction to Pandas: Key features to Head & Tail
Matplotlib Python Plotting: From the structure of a Matplotlib Plot to RC Settings
The Origins of IPython/Jupyter: The start of Computational Notebooks to Installing Extensions. It explains how most of the extensions of the Jupyter Notebook can be downloaded employing the pip tool of Python.
Charts to fully explain the steps in order from start to finish
Applied Machine Learning Process: With a 6-step procedure and why we need to use Weka when starting to Learn Machine Learning as well as a chart that covers these steps:

Problem Definition: Comprehend and visibly define the problem that is being explained.
Analyze Data: Comprehend the obtainable data that will be employed to make a prototype.
Prepare Data: Learn and expose the building in the dataset.
Evaluate Algorithms: Grow a healthy test harness and starting point exactness from which to advance and check algorithms
Improve Results: Influence outcomes to grow more precise prototypes.
Present Results: Label the situation and answer problems so that it can be understood by 3rd parties.
It also goes over how you must practice, practice, practice, and the steps you should use to practice.

Mai multe informatii
Editura END OF LINE CLEARANCE BOOK
Dimensiuni 214 x 135 x 31
Data Publicarii 01/01/1900
Format Necartonata
Descriere RO Invatarea automata aplica AI sau o inteligenta artificiala care face ca sistemele sa proceseze si sa invete automat fara a fi nevoie sa fie programate de utilizator. Stocheaza automat, recupereaza si proceseaza date, ceea ce face programarea mult mai usoara. Sa ne gandim la conceptul de invatare automata si Python si la modul in care acesta poate fi util in viata noastra de zi cu zi.
Aceasta este o carte in limba engleza. Descrierea cartii (tradusa din engleza cu Google Translate) este in limba romana din motive legale.
Invatarea automata aplica AI sau o inteligenta artificiala care face ca sistemele sa proceseze si sa invete automat fara a fi nevoie sa fie programate de utilizator. Stocheaza automat, recupereaza si proceseaza date, ceea ce face programarea mult mai usoara. Sa ne gandim la conceptul de invatare automata si Python si la modul in care acesta poate fi util in viata noastra de zi cu zi.
Scrieti propria recenzie
Recenzati:MACHINE LEARNING WITH PYTHON
Rating-ul dumneavoastra